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6 Robotic process automation examples for scaling businesses

Scaling up your business requires selecting the right settings for your company’s digital workflows. Scaling depends on adapting quickly and synchronizing within a dynamic environment. However, if not planned well for the long term, you may, at some point, get overwhelmed, or lost, failing to achieve your business goals. By scaling, you want to stimulate sustainable growth as much as possible. Do you wish to scale your business easier? If the answer is yes, then this article is exactly for you.

Why use RPA for scaling your business?

The accelerating development of Robotic Process Automation has a huge potential to enable businesses to scale organically and sustainably. Each startup aims to reach the point where revenue is increasing without substantial growth in resources. As such, scaling comes as a result of the right planning and improved process workflows. However, the truth is that expansion contains risks.

 

Acquiring a bigger market share is essential, but it could also become a threat if it happens too fast at a given point. That is why organizations have to be prepared to avoid overloads and use technology to leverage risk. RPA is becoming widespread amongst scaling businesses because of the numerous opportunities for shifting rule-based mundane tasks from humans to digital workers. This opens up a growing room for team members to perform more creative activities, contributing to the company’s growth strategy.

In a previous article, we explained what the benefits of RPA are. However, in a nutshell, Robotic Process Automation is well-known for improving overall business efficiency across industries. It brings higher quality and consistency, saving time and money. It is also recognized as a powerful asset for increasing productivity among team members. This translates directly into scalable growth and higher profits for your company.

According to analyses performed by Deloitte, “only a tiny minority (3 percent) of progressive leaders have reached any form of scale with more than 50 robots in service. Organizations must make the right strategic choices—laying the right foundation to enable a “premium” digital workforce to support their drive for competitive advantage.” It is further suggested that “given the relative immaturity of the automation market, it is taking time for large organizations, in particular, to learn about and adopt RPA at scale.” This demonstrates the advantage startups have to make RPA a crucial part of their scale-up strategy as this would enable them to compete for market share with far larger but digitally immature organizations.

Top 6 RPA examples for scaling businesses:

We divided our list of RPA examples into six major sections based on the key business functions where software robots can help the most with the growth of your business. We hope this list will give you a useful overview of the practical applications of RPA to help you scale your business. Now let’s dive in.

You don’t have time to read the whole article right now? Download a free one-page infographic that summarizes the key details you need to know about RPA and its benefits and applications for scaling businesses. Download it here.

1. Customer Support & Client Onboarding

Common, yet, outstanding examples of RPA are the auto-responding to queries and auto-sending of notifications which are both essential for an effective customer support function. Nowadays, users require quick answers to their questions or instant help with problems that they face. A great part of these requests can be handled by RPA digital agents in a routine, standardized manner. This saves valuable resources for companies and improves customer satisfaction. For instance, Facebook has already automated most of its customer support. As a result, the human workload has substantially decreased, while customer satisfaction has gone up.

 

New client onboarding and new account openings are also processes easily handled by a robot. In addition, more and more often, a lot of scaling businesses delegate to software robots call center operations, including help desk services. In fact, RPA can take care of most of the common queries and repetitive issues. Robots effortlessly help agents by displaying a dashboard with suggested solutions and summarizing relevant information.

2. Accounting & Admin

Most administrative tasks like generating, preparing, and processing documents must be automated in each growing business today. For example, handling invoices is a fundamental task in accounting. It is also one of the most time-consuming processes that companies of all sizes have to tackle. The good news is that today digital workers can execute the entire process instead of humans, with zero interruptions and mistakes. 


Creating and delivering invoices, like most rule-based activities, can be automated by linking accounting and ERP systems. By extracting data from submitted receipts robots can even handle the expense management process and generate expense reports. Essentially, all the data entry and manual work involved can be done by robots to make processes automated, paperless, and efficient.

3. Finance Operations

If deployed strategically within the finance function, robots are able to perform not only simple individual tasks but even finance sub-functions such as procurement and tax compliance. Surveys show that one robot can be up to 30 times more productive than a full-time working human. The truth is that the evolution of RPA in finance has reached the stage of full automation. This means that the opportunities for a scalable finance function range from simple everyday processes, such as bank reconciliations, to complex operations such as financial analysis and forecasting.

Common RPA use cases within finance:

Some enterprises are going a step further by automating requests for approval and as a result, are reducing their processing time by 75%. Banks, for example, automate their commercial lending processes by completing standardized data forms, which help them to accelerate new account opening and new client onboarding.

4. Human Resource Operations

RPA has significant use cases for scaling the human resource function. Among the operations that a digital workforce can perform instead of humans are:

5. Sales Operations

One of the most fundamental challenges during the scaling phase is how to speed up the sales cycle with efficiency and precision. Speed is important but so is the accuracy of the pricing proposals, the sales contracts, the timely notifications, and follow-ups. These are all areas that require significant attention to detail in order to perform these routine administrative operations diligently and correctly. Software robots come in to support the sales process by handling numerous administrative tasks.

 

Common processes that should be automated within scaling businesses include:

6. Compliance & Data-Related Operations

Statistics show that implementing RPA improves compliance accuracy by 93%. In the dynamic business environment, compliance is vital for each scaling business. For example, a change in tax or regulatory conditions would require numerous validations of records.

 

Here’s a list of data-related RPA use cases ensuring better compliance for scaling businesses:

Download a free one-page infographic that summarizes the key details you need to know about RPA and its benefits and applications for scaling businesses. Download it here.

Conclusion

Technological advances have made intelligent automation possible across a wide spectrum of manual processes. Scaling companies should strategize on how to optimize operations to meet business and investor goals and stay on track. By implementing RPA, you can build scalable processes and optimize business resources to make sure budgets last longer and human capacity is invested in value-adding business functions.

However, when it comes to adopting RPA for scaling, insecurities still prevail in most companies. That is why RPA continues to be overlooked despite its fundamental benefits. So, it is crucially important that decision-makers continuously dedicate time to identifying processes within their business that could and should be automated to achieve a scalable future.

At Capto, we believe automation should be implemented gradually and strategically. Our team has automated many processes already and we’d happily suggest RPA solutions that are flexible and tailored to your company’s scale-up needs. If you are looking to scale your business, meet investor goals, and make your resources last longer, then have a chat with us. We are here to help you leverage automation to drastically save time & resources and grow with scalable processes.

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What are the benefits of robotic process automation?

In the digital world of today being adaptable is a vital requirement for each company. The technological advance creates a dynamic environment for both users and software service providers. As such, you constantly have to follow up with the innovations and expand your knowledge to keep on track. Nowadays, it is crucial to understand that one of the major prerequisites for business success is automation. This article will explain in a friendly language the robotic process automation benefits and how your business can take advantage of this modern technology. But first, let’s clarify two fundamental terms:

What is a software robot?

A robot is a machine capable of sensing and interacting with its environment. It’s an automatically operated machine that replaces human effort. However, in this article, we will not talk about physical robots, but we will use the word “robot” to refer to software robots, or “bots”. Software robots are nothing more than pieces of code. They are simple or complex computer programs designed to perform specific actions, such as automating repetitive tasks or simulating human users, among others. Software robotics is gaining popularity in business today, increasing the use of bot programs to automate computer tasks normally performed by people.

What is robotic process automation (RPA)?

Robotic process automation (RPA) is a form of business process automation based on software robots (digital workers). RPA re-creates the way humans interact with software to perform high-volume, repeatable tasks. Its ability to copy the way humans perform computer-based processes has contributed to its popularity compared with automation tools such as application programming interfaces (APIs).

 

RPA uses software agents (bots) to carry out routine clerical tasks without human assistance. It is useful for automating business processes that are rules-based and repetitive. RPA bots can follow a workflow that encompasses multiple steps across multiple applications. However, unlike traditional automation projects that require extensive developer help, RPA projects simply use an organization’s existing applications which makes it far more accessible, even by small and midsize enterprises. 

 

Additionally, when combined with AI and machine learning, RPA can capture more context from the content it is processing, extract entities like names, invoice details, or addresses, and identify data from images, such as automatically estimating accident damage in an insurance claim picture. This can greatly reduce costs and increase efficiency by speeding things up and significantly minimizing errors. In other words, this means delegating repeating processes within your workflows to RPA bots.

For example, an RPA bot can be used to:

  • Complete & Receive forms;
  • Check for completeness;
  • Use external information or proprietary databases to look up missing information;
  • Enter missing data;
  • Copy data between applications or workflows as required;
  • Forward completed, validated forms to its next destination;
  • Calculate and complete numerous tasks;
Now let’s take a look at the advantages of using RPA in business and its usage in different industries.

What is RPA used for?

Robotic process automation helps businesses overcome data challenges and inefficiencies by using the power of modern computer programs, thus, focusing on constant and sustainable growth. It is designed to help primarily with office-type functions that often require the ability to do several types of tasks in a specific order. Using RPA tools, a company can configure a robot to capture and interpret applications in order to process a transaction, manipulate data, trigger responses, and communicate with other digital systems.

 

As such, RPA provides organizations with the ability to adapt and respond quickly. What’s more, is that RPA software bots can also use machine learning algorithms and artificial intelligence to free up human employees and allow them to concentrate on more complicated tasks rather than routine work.

 

For example, a large commercial bank may use 100 software bots to run 15 processes that handle over 1.5 million requests in one year. Recently, the implementation of RPA in business enterprises has shown dramatic cost savings when compared to traditional non-RPA solutions.

RPA is used in most industries, particularly those that include repetitive tasks such as manufacturing, legal, insurance, banking, finance, accounting, healthcare, human resources, and telecommunications. Indeed, RPA is widely used for procure-to-pay, mortgage and lending processes, customer service and CRM, eCommerce merchandising operations, and data extraction processes, among others


Before moving on to the core topic, let’s take a glimpse at the infographic below, showing some examples of RPA applications within different industries.

robotic process automation benefits

What are the robotic process automation benefits

1. Boosted efficiency

One of the key factors for the successful development and scaling of a business is the coefficient of efficiency. Every day you are in a situation in which you compete with yourself and your competitors to be more efficient. Scaling could indeed be a great threat to a growing business unless there are sufficient process efficiencies in place. It goes without saying that if your processes are much more efficient than your competitors’, this gives you a significant competitive advantage. This is where the implementation of RPA  can be of significant importance as it fundamentally streamlines processes and speeds up the execution of manual tasks to substantially improve business efficiency.

2. Increased innovation

Repeated manual work is a genuine obstacle to innovation. It is, without a doubt, the routine that any person inside your organization would find uninspiring and quite dull. Repeated manual work is not only boring by nature. It is often a waste of energy and time for us humans who thrive on creativity, critical thinking, and innovation. Once eliminated, this valuable time and energy could be invested into solving problems, and developing new concepts and innovations. By optimizing processes,people can focus on the creative activities at work which has a significant direct impact on the degree of business innovation. RPA plays a major part in facilitating this positive change.

3. Increased responsiveness

The success of a company always depends on its ability to get the job done on time. Robotic process automation has completely revolutionized the way businesses work. The truth is that nowadays we are blessed to have technology so advanced that companies are able to implement RPA to automate low-value mundane tasks while freeing their employees to focus on value-added activities for their business. This allows businesses to respond quickly to market fluctuations, deliver customer service and support with speed and accuracy, and increase the overall responsiveness of the business.

4. Flawless execution

By letting robots do the “mindless” work you guarantee flawless execution of all repetitive tasks and manual processes. This improves the performance of your company and reduces the chances of errors, or delays. Not only that, but it can also have a direct positive impact on your business agility, and profitability. 

5. Improved customer experience

The most important factor for increasing customer retention is to make sure they feel satisfied with their experience with your business. This can be achieved by better and more personal communication at each phase of the customer journey. RPA helps at all stages of the customer journey and improves the overall experience by letting you serve your clients more quickly, flexibly, and responsively. The final results are faster delivery, improved quality of service, and more efficient support.

6. Happier & more productive team

Last but not least, RPA helps to keep your employees happy and much more productive at work. According to surveys, more than 70% of employees state that they use one extra day a week saved through automation to execute activities that add true value to their organizations. What’s more, is that almost 80% of them say they focus on the more creative aspects of their work which increases overall motivation and staff happiness. This is a clear positive sign that RPA reduces the pressure and prevents staff from burning out.

RPA provides even more significant benefits to your business. Here are some more examples of all you can achieve thanks to RPA:

  • Invest more resources in core business operations;
  • Stimulate employees to learn and take up more strategic functions;
  • Generate major cost savings by automating mundane day-to-day functions;
  • Enhance resilience to match workload peaks and respond to huge demand spikes:
  • Reach accuracy goals with reliable consistency;
  • Improve business data security;
  • Seize opportunities for scale;
RPA is all about automating repetitive and monotonous tasks so that you and your employees can divert your complete attention towards the more fundamental ones.
Robotic process automation empowers humans to play at their core strengths by giving them the time to focus on the most valuable business activities and projects. This makes organizations more profitable, flexible, and adaptable. Not only that, but RPA is also reported to increase employee satisfaction, engagement, and productivity by removing mundane tasks from the day-to-day agendas. It truly is an investment that delivers rapid and multi-dimensional ROI.

Conclusion:

The benefits of RPA make it clear that this technology has an essential role in business. As discussed above, the implementation of RPA improves the efficiency, reliability, and speed of your business thanks to the automation of tasks and processes previously performed by humans. It’s already transforming businesses around the world, giving them the competitive advantage they need to get ahead in their sector. And now it’s your time.

How can you take advantage of RPA?

The good news is there is no need to reinvent the wheel. We are here to help. Our team is dedicated to providing holistic RPA business solutions to companies. Each day we work with clients from all over the world to scale and implement RPA. They’ve already become convinced of the power of automation and included it in their strategies for long-term success. You can also take advantage of our expertise and start your RPA journey by booking a free consultation slot with one of our experts. Brainstorm with us to figure out which processes, functions, and departments within your business structure can and should be automated. We’d love to help you benefit from robotic processes automation in the era of digital transformation.
Sources & references:

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coding language on screen

What is open source RPA: Ultimate Comparison with traditional RPA

What is open source RPA?

Before we dive into open source RPA, let’s briefly discuss Robotic process automation (RPA) more generally. RPA is often the first step toward automation for many businesses. Often businesses look no further to automate manual, multistep tasks that typically take a human a long time to complete. However, RPA as a technology is evolving quickly. This means that it can now handle with perfection not only swivel-chair processes but also end-to-end process automation

 

RPA has the power to significantly increase the volume of business you attend to. It’s also powerful in fueling innovation and creativity in teams. And sure, it’s also got the potential to reduce costs by 30% to 50%.

 

With the increasing need for automation, the discussion about what type of RPA to implement becomes more and more topical. So here’s a summary of two main categories of RPA on the market today. Open source and closed, or traditional, RPA.

Open source RPA is robotic process automation where software robots are built using an open-source coding program or language that is publicly accessible and often (but not always) free to use. This effectively means that when a developer creates your robot, he/ she writes the code using one of the top open source RPA frameworks or simply python.

 

At Capto, for example, we use mostly python to build our customized robots. This means that we don’t engage with a commercial vendor. This helps us keep pricing low, quality and flexibility high, and security fully in control. 

What is traditional RPA?

Traditional RPA, on the other hand, is what we refer to when we hear expressions such as licensed RPA and commercial RPA. This type of RPA is indeed based on developer licenses and is proprietary. This means that the developer building your bot doesn’t have access to the underlying source code. Developers are effectively left with a drag-and-drop-like interface, or low-code functionality, to build all required bots. 

Differences between open source RPA and traditional RPA

The differences between the two “schools” of RPA are many and all pretty fundamental. To understand them better let’s talk through them one by one:

Development

One of the key differences between open source and traditional RPA is the way the bots are developed. With open source RPA, bots are developed using python or another open source language or framework. This means that the developer has direct access to the source code and can improve it, update it and maintain it directly at all times.

 

With traditional RPA the developer has no direct access to the underlying code. Instead, he/ she uses a drag and drop interface or low code to build the required bots or workflows. This can make it quite hard for developers to build the exact solution desired by the end-user. This is due to the inherent proprietary systems and the reduced flexibility since developers can only use the set of features made available by the vendor. 

Deployment

Open source RPA ensures a very fast, and hands-off deployment. Deployment can be done on your desktop or the cloud depending on the specific requirements. In both cases, however, deployment is done pretty smoothly and with no major bottlenecks.

 

Traditional RPA historically used to offer only on-premise deployment. This was expensive, taking a long time, and was often associated with extensive maintenance efforts to keep up the on-premise servers. Nowadays, however, most traditional RPA providers offer a cloud deployment as well which is expected to reduce the deployment time and make it far easier to complete successfully.

Infrastructure

With open-source RPA you have full control over the infrastructure. What that means is that you decide where to host your bot, on a desktop, on-premise server, or the cloud. If the cloud option is preferred, you then have full control over which server to use.

 

Traditional RPA, on the other hand, is inherently associated with a closed costly infrastructure. Here you also have control over where your bots are hosted. However,  it’s up to the vendor to choose the server provider. This means you have limited control over the overall cost since this is pushed by the vendor. 

Maintenance   

With open source RPA maintenance is required following third-party updates. Say your bot connects to Facebook and Facebook makes a big update to its platform. This will potentially require the developer to make adjustments to the bot to make sure it works smoothly with the new version of Facebook.

 

With traditional RPA, however, maintenance is required not only because of third-party updates but also updates pushed by the vendor. The latter is completely outside of developers’ control. What’s incredibly important to mention here is that the rate of broken bots with traditional RPA has been notoriously high. 

 

The reason for this is mainly due to auto-updates of the vendor systems over which developers have no control. This, coupled with insufficient documentation on the updates, makes the successful maintenance of bots tricky and costly. 

 

Thankfully, this issue is not in scope with open source RPA. This is the case because with most open-source software and languages, python especially, developers have full control over the versions of the frameworks and libraries used in building the bots. Importantly, the version used in creating your robot will not change automatically with future updates, unless your developer decides so. 

Features

With open source RPA the features that your robot can have are virtually limitless. Developers have access to the code. As such he/she can be as creative as he/she wishes to achieve ultimate customization.


With closed RPA, the features that developers can use are vendor specified. This means that developers can only use the features included in the vendor’s set of features. This can become limiting both in terms of the functionality of the robots and the creativity that developers can unleash. 

Scalability

Going hand in hand with the flexibility and control over infrastructure and features, open source RPA allows for fast scalability. Not only that but it’s also the most cost-efficient option on the market today to scale RPA. More on that in the pricing section below. 

 

Traditional RPA has made a name for itself when it comes to the scalability of RPA. This is mostly driven by traditional vendors being the only trusted option on the market until recent years when open source RPA started to shake things up.  Scalability with traditional RPA is still perceived as best achieved with traditional vendors. However, that only applies to businesses that can justify the large investment required.  

Resources for developers

When we talk about open source RPA we talk about an active global community of thousands of developers and contributors. The amount of documentation that is available is also impressively extensive and free to access.

 

In comparison, the resources available for developers using traditional RPA are made available from the relevant vendors. As such, they tend to be limited when compared with open source RPA. This is the reason why often when traditional bots break, it takes quite a bit of time to find and resolve the problem. 

Security

With access comes control. With control comes security. Open source RPA ensures robust security since at any point the code can be audited. Also, with access to the underlying source code, developers can see, locate, and fix vulnerabilities in the code as well as any bugs.

 

Traditional RPA is inherently closed. This means that the code making up your robot is not visible to you or your developer at any point. It is only accessible by the RPA vendor. As such, security is based entirely on trust. 

Pricing

Open source is a low-risk low-cost way of getting started with RPA. If you have the development resources on your team, you can build some test robots virtually for free. At Capto we use open source technology and adopt a consumption-based pricing model where the price is determined by the amount of work your bots get through. This means that you are paying for the direct value you receive from your bot 🙂

 

In comparison, traditional RPA adopts license-based pricing. This means that an annual license is required for each robot you need to be deployed. As such, the upfront investment is pretty high and makes scalability a very pricey undertaking. 

 

Important point to make here is that with open source RPA you can now bring as many robots as you need in solving one problem because you don’t pay per robot but per consumption. This compares with having 1 single licensed bot doing everything on its own. Why having just 1 licensed bot doing all the work? Because with traditional RPA you you pay per robot not job done, and the amount is pretty significant so it’s hard to justify the extra cost. 

Company size

Traditionally licensed RPA was created and continues to be used by large organizations that can justify the high cost. We’re talking about large companies with complex processes the automation of which would delivers a high enough ROI to justify the investment into a robot.

 

With open source RPA the discussion about company size and who can afford RPA becomes irrelevant. That is the case because companies of all sizes can start using RPA virtually for free if they have the development skill in the team. If external help is required, the upfront cost tends to be insignificant or in some cases none which means that every company can afford it and start benefiting. 

Conclusion

In summary, these are the main differences between open source and closed traditional RPA. Which type of RPA you go with is inherently a blend between appetite for flexibility, security, cost, and speed. As such, there are no one-size-fits-all solutions as the wider business circumstances and the specific project requirements could weigh the scale in either direction. What we encourage businesses of all sizes to do is consider all options and make decisions based on complete information. Also, if you or anyone of your teams need further information, make sure to consult!

 

Our team at Capto is here to help with any automation-related questions so feel free to leave us a comment or if you want to speak to us directly, you can book a call with one of our experts. And yes, it’s free and without any strings attached. 

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How RPA helps maximize your ERP investment

We’ll talk about RPA shortly but first. Investopedia defines Enterprise resource planning (ERP) as the process of integrating the important parts of any business. This is made possible with the help of an ERP software system. These same ERP systems appeared by this name in the 1990s and promised to integrate your business planning, inventory, sales, marketing, finance, human resources, and just about anything into one single place. Pretty powerful, right?! Well, we certainly think so. 

What is RPA?

Before we move on though, it’s important to clear out what we mean by RPA or robotic process automation. According to our partners and friends at Robocorp, it is a type of business process automation that involves software robots. These robots automate manual, multi-step tasks and processes that typically take a lot of time, and energy to complete. It would have been cool to watch if they did, but sadly you wouldn’t find RPA robots walking around your office, shouting “fire” every time they launch an automation. Instead, they’re lines of code that we implement on our desktops, internal servers, or the cloud to perform tasks for us automatically.

 

Why would we do that? Well, because we have far more valuable things to do than enter data, classify emails, scrape data from the web. You get the idea.

Link between RPA and ERP

ERP systems have come a long way to the point where Cloud ERP is not even a new development anymore. However, many legacy systems, critical in the business operations, have lacked the modernization of the ERP space. This has slowly resulted in a lot of manual interlinking required to be made between legacy systems and Cloud ERP. Luckily, RPA is here to help!  

 

RPA replicates human actions without the need for any additional software, IT upgrades, or interruptions. What that means is that RPA has an impressive track record of helping companies become more efficient. This is achieved by automating data flow between systems and freeing up people to invest time into more meaningful activities.

 

This makes ERP automation one of the key processes to automate within your business operations.

How RPA helps you get more out of your ERP investment

How many instances can you point to where your business has invested in a piece of technology or software and paid a significant amount for it. Yet, the adoption of the technology or the utilization of its full capacity has been somewhat disappointing?

 

Wherever the ERP needs to be integrated with bespoke or legacy systems, the use of its full functionality is limited. This is where the use of RPA becomes very powerful.

 

Senzcraft have noted that integrating ERP systems with other systems takes months of effort. That’s especially the case if the integration is with customer or supplier systems. RPA helps to accelerate the process through automated communication between systems.

The world is going on the Cloud! And so are you ... despite any legacy systems

When integration between a Cloud ERP and a legacy system is not available, the data transfer is performed manually. In such cases, RPA bots come in with a bang to transform this manual process through automation.

 

Through successfully implemented RPA businesses achieve greater effectiveness and speed. However, they also get an economical interim solution until a legacy system is upgraded or replaced. 

 

This is particularly important in M&A situations where legacy systems are inherited as part of the merger only to create operational “mayhem” and inefficiency. RPA, and especially open-source RPA, becomes the perfect solution in these scenarios due to its flexibility, affordability, and quick deployment. 

You can go "modern" without the cost, hassle, and time usually required

The upgrade or replacement of a dated system causes disruptions. How severe they are depends on the size of the business, the data stored, and the attitude of staff towards change. This is often caused by a significant amount of time and money spent, staff resistance, and short to long-term loss of full operationality. 

 

Often the risk and unpredictable business consequences that may follow a technological revamp incentivise leaders to delay the system modernization until it is absolutely business-critical.

In these circumstances automation robots allow businesses to benefit from the latest digitalization technologies and developments in process automation.

 

There are already multiple real-life examples of “use cases across diverse functional areas such as order to cash, tax & compliance, logistics that are based on RPA working with client ERP systems. In these cases, value is created through improved automated operations, low cost to scale, and future-ready process design. ROI is often reflected in improved process KPIs in less than 8 weeks”.

It's time to build in a better performance & more flexibility

RPA allows for a significantly improved synchronisation between systems. It ensures faster performance and access to a lot of capabilities that human task performers would take far more time to execute. The scope for error is significantly reduced too. 

 

RPA also brings in an eased access to the benefits of both Artificial Intelligence (AI) and Machine Learning (ML), such as image processing, character recognition, and language recognition capabilities. It’s important to note that otherwise, both AI and ML would not be available unless a direct investment is made into the technologies. 

 

RPA essentially mimics the behavior of ERP users, records their actions as they enter data, access applications/ systems/ databases, perform commands and transfer files and data in-between applications. These are only a few examples of how RPA ensures an improved ERP performance and as such, an optimum version of your ERP which is automated, responsive, and more user-friendly.  

End-to-end process automation

ERPs are incredibly helpful and the benefits of RPA have been proven time and time again. However, the ultimate focus now is not only on the automation of standalone tasks but the streamlining and automation of entire end-to-end processes. RPA adds speed and accuracy to the business architecture and makes possible the connection between different processes which otherwise may be impossible to link smoothly and effectively.

 

Just recently at Capto we had a great example where a client had to connect their ERP with their bank’s access portal via an SFTP server. Whilst the process on the bank side and the process on the client site were well defined and streamlined, they were not connected. This meant that a significant amount of time was spent each week by the client’s team to review the information on the bank’s portal and transfer the data into the ERP. 

 

This is a good example where RPA offers end-to-end automation of the entire process which ensures the automated transfer of data between the bank’s portal and the ERP, thus saving a lot of time for manual review and data transfer. This is a strong example of how powerful RPA is in the automation of entire processes as opposed to disconnected tasks and standalone processes.

Ending note

The implementation and increased utilization of ERP and RPA are here to stay. The ultimate business advantage, however, comes in the combination of ERP and RPA. This results in a smoother, faster, and error-free utilization of the ERP of choice. It also ensures access to the latest technological developments and benefits of both AI and ML. It is the proven shortcut to maximizing your ERP investment without the need for additional applications or IT upgrades of any sort.

 

What’s more is that with open-source RPA there are also no annual robot licenses or high maintenance costs, since the cost is determined based on consumption. This way you only pay for the true value you receive from your hard-working robots 🙂 

 

Better, faster, stronger … cheaper! 

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6 Key Processes to Automate within Your Business Operations

Every business is unique in its offering, niche, supply chain, verticals, and business model. However, what is common between all businesses is that they all have operations. There are processes that need to take place for business to be conducted so customers receive their products and suppliers – their payment, on time and accurately. All of a sudden running a business sounds easy, and so straightforward … if only. 

 

The context we set out below provides interesting insights but if you’re in a rush, dive straight into the processes you should prioritise for automation here.

 

Business operations and the team that make it all possible have a lot of stakeholders to manage. As such, there are a lot of processes that need to be performed accurately but also time and cost-efficiently for great business results to be achieved for both investors and customers. That’s often the key challenge of COOs and Ops Directors. How to run everything quickly, efficiently, correctly, and still keep customers, employees, and investors happy? 

 

And that’s where business process automation comes in a big way!  

What does company automation mean in the Ops world

The last 18 months and specifically the operations disruptions caused by Covid all around the world, were golden proof of the power and need for company automation regardless of location, company size, and industry.

 

73% of organisations worldwide are using automation technologies – such as robots, machine learning, and natural language processing. This was a response to the pandemic, the accompanying disruptions in demand, supply shortages, and increasing sick leaves and resignations. 

 

McKinsey reports that companies’ digitisation of customer and supply-chain interactions as well as internal operations has accelerated by three to four years solely due to the disruptions caused by Covid. This was in response to new demands and the need to respond rapidly to changing circumstances.

 

These, according to executives, have accelerated the investment into digital initiatives and in particular company automation. What is fundamentally different in the post-Covid business environment is that a digital transformation is no longer just “nice to have” in order for business operations to be cost-efficient.

 

Business leaders are now recognising the importance of automation and digitalisation as mission-critical factors to achieving the overall business strategy.

 

This is why we put together a list of the key operations processes that leaders should prioritise for automation to achieve fastest ROI and save the most resources to invest in more valuable projects. So, let’s dive right into it.

Keys Operations processes to prioritise for company automation

Unquestionably, there are a lot of business processes that will come up in the conversations about where to start with automation. However, at present, the following 6 processes are bound to require the highest investment in terms of time, staff resources, and cost and be characterised by the largest need for manual intervention, high repetitiveness, and predictability of the steps required to complete the process. 

1. Document Generation

One of the key challenges that most businesses face daily is the generation of documents, for example client contracts, NDAs, employment, and other legal documents, purchase-order agreements, etc. The process usually requires a few predetermined steps, a series of manual actions, and a lot of concentration on the side of the staff who prepares the documents to make sure all information is transferred across from all key systems into the newly generated document completely and accurately. Clearly, the scope for error and time required are excessive.

 

However, automation comes in to auto-pull all required information from your companies’ internal systems, databases, and any relevant external sources. A robot designed specifically for the task can generate all documents required. This is done by first selecting the correct template from your company depository, then filling in the correct information, finalising the document, and even sending it for your review via email. Ready for your review and any follow-up adjustments. 

 

Automation quickly transforms a long, dull and costly process into a standard task performed quickly, and efficiently by a robot. And with significantly reduced scope for error and no staff frustration or exhaustion. 

2. ERP Automation

Nowadays it’s hard to imagine running a business without an effective Enterprise Resource Planning (ERP) system. Used to manage processes such as resource allocation, price changes, demand forecasting, and so on, an ERP system gives a real-time carousel of the key metric critical for the smooth running of your business. However, that’s the case only if the right integrations are made between your ERP system and all the other systems, datasets, and Spreadsheets you use to capture all your company data.  

 

In such cases, automation and the implementation of software robots are becoming increasingly valuable. They quickly ensure that no information is missed out, transferred across incorrectly, or data is delayed even by a single day. 

 

Automating the interconnectivity between your ERP system and your local desktops and external systems ensures that your ”information carousel” is efficient, real-time, accurate, and stress-free at all times whilst improving the quality of your analysis. This is made possible by designing an intelligent robot that automates all data flows going to and out of your ERP system, thus increasing the available insights, and reducing the scope for data omission, delays, or sick days.

 

To find out even more about ERP automation also check out: How RPA helps maximize your ERP investment

3. Purchase Order processing

Essential to any business is the ability to place purchase orders with the most suited supplier, at the best available price, and with all other required parameters in an efficient way to ensure the supply chain cycle is quick, smooth, and meeting quality standards. Similar to the automation of the Document Generation, the purchase order process can be easily automated to instruct a robot to place all required orders. This is achieved by intelligently taking all order details from a sheet, system, or database and processing dozens of transactions in mere seconds. 

 

What’s important to note here is that a robot can not only do the manual repetitive task spotlessly but it can also use pre-configured artificial intelligence to ”learn” from the previous orders placed. This way it makes educated predictions about which item should be ordered from which supplier and in what quantities depending on the expected demand, for example. This speaks for the fascinating power of automation and the extent to which it can streamline, improve and boost the purchase order process irrespective of the volumes.

4. Demand and Supply planning

This requires an effective real-time gathering, making a lot of computations and analysing of a lot of different data, often stored in different places which make it even harder to execute the process. Performing all these tasks manually requires a significant amount of time, concentration, and exposes the final analysis to error in the calculations, omission, or inaccurate transfer of information.

 

The use of a software robot becomes very crucial in cases where you have multiple sources of data, complex operations, and volume of data that is otherwise unrealistic to analyse in its entirety by a human. A robot gathers all the information, performs the necessary calculations,  and sends you the final results and forecast. This ensures that the only input required by a human is the final decision-making and judgment exercise, thus guaranteeing accurate forecasting and improved quality of the demand and supply planning. 

5. Inventory Management

Keeping an accurate representation of your inventory is absolutely paramount for the smooth running of any business, especially within retail, supply chain, and logistics. This is why inventory management has been one of the key processes that businesses prioritise for automation. 

 

In this particular process, software robots can monitor of the inventory, perform key computations and analysis, send notifications when stock levels fluctuate below and above certain levels, place orders automatically when triggers are met, and provide real-time reporting to management. Robots make it accurate, easy, and smooth to track manage the stock levels. They take actions automatically when certain events occur which increase the responsiveness of the business and improve the quality of the overall process as all actions are based on data-driven triggers.

6. Resource allocation & management

One of the key challenges of any business is how to utilise supplies, staff, and available funds in ways that ensure the smooth short-term operation of the business as well as its long-term sustainability and profitability. This is where proper management and smart allocation of resources becomes not only important but essential for the sustainability of the business. This is often contributed to all the disruptions that are frequently associated with the incorrect allocation of materials, budgets, and people to projects and tasks. 

 

Software robots support this entire process by automatically integrating all required data and performing the necessary analysis to ensure resources are allocated strategically. Robots also assist by sending reminders, notifications, and inquiries to all relevant teams as needed and circulating the allocations report to all parties involved, thus saving a lot of manual tasks and back and forth between people and departments. Not only that but they save a significant amount of manual hours which is better invested into analysing and strategising based on the analysis prepared by the robots.

That's all well and good but how to automate all these processes

The short answer here is robotic process automation (RPA) or the design and implementation of intelligent hands-off robots that perform all manual tasks involved in the above processes, and much more! The idea of RPA is that a task or a whole process can be delegated to a digital worker, i.e. robot, that performs within seconds all that is required, with stellar accuracy, without exhaustion and tiredness, and 100% consistently (all dependent on the pre-configuration). 

 

On top of that, however, it’s important to note that we don’t just talk about any RPA technology. We talk specifically about open-source RPA. The reason for that is that so far open-source RPA is the technology that we see time and time again to solve business problems quickest, most flexibly, and sustainably, whilst allowing for complete control over the process and scalability of the automation across departments and processes. 

 

RPA and anything that mentions open-source are concepts that have been around for a long time already but they still carry ambiguity and uncertainty, hence a lot of businesses still fall short to understand and take full advantage of them. 

 

Our team at Capto is here to help you answer any questions you have on RPA, open-source, or process automation more generally. Simply schedule a call with us and get your list of questions ready. 

6 Key Processes to Automate within Your Business Operations Read More »

24 Mission-Critical Processes to Automate within Finance & Accounting

Automation is quickly shifting its place in companies’ priority lists to become one of the top three strategic developments to focus on in 2022. With that, key processes within finance & accounting continue to distinguish themselves as the most business-critical automation examples to focus on first. This is driven by an impressive record of successful automation developments and a proven fast return on investment.

Main characteristics of processes that are highly automatable

Automation can save your business up to 40% of losses resulting from accounting errors. With so many processes still being highly manual and inefficient, it’s super easy to get excited about automation but hold on a moment. Not every process you’re dealing with is “eligible” for automation. For an automation project to be successful and to achieve a quick and substantial return on investment, the processes involved should have the following characteristics:

  • highly repeatable
  • high volume
  • rules-driven
  • with low exception rate
  • with inputs that are electronic or machine readable.

All processes that meet these criteria are highly automatable and should be prioritised for automation.

Keys automation examples to prioritise within finance

Now that we know what processes we should be looking for, let’s look at the keys ones within finance to automate first. There is a vast amount of processes within finance & accounting that are perfect candidates for automation. As such, we will group them into four different function categories. This is namely: accounts payableaccounts receivable, compliance, and month-end reporting.

Automation examples within Accounts Payable

Ensuring effective supplier due diligence and correct and timely payments for all purchases made are two simple-sounding but certainly not easy goals to ensure and track at all times. This is where automation can significantly add value. Both in terms of freeing up time for more investigation and ensuring the company finances do not suffer due to untrustworthy suppliers or payments made to vendors in error. Here are some of the key processes that companies all sizes and industries must automate to ensure the health of their account payable function:

  • Purchase order processing
  • Supplier verification and setup
  • Invoice data extraction
  • Supplier statement processing
  • Classification & Reconciliation
  • Payment processing

Automation examples within Accounts Receivable

One of the main areas of focus within finance is unquestionably the Receivables. All related processes ensure funds are received by the deadlines, and are reflected in the accounting systems correctly. In addition, where receipts are delayed, processes ensure they are flagged, investigated, and resolved timely. This is to ensure no cashflow disruptions, late supplier payments or risk of damaging your client relationships.

 

To ensure increased productivity of your accounts receivable team, and that the operations are void of human error, the following processes should be prioritised for automation. They have the highest return on investment and ensure that the overall process runs smoothly, error-free and quickly. Also, they are directly linked to a healthy balance sheet and an effective cash collection with are both business-critical.

  • Automated Generation of Invoices
  • Billing processes & Automated invoicing
  • Invoice data extraction
  • Account reconciliation
  • Sending of invoices to customers
  • Customer data management & communication
  • Customer verification and setup
  • Automated Payment processing

Automation examples within Compliance

Compliance has notoriously been the business function that often takes the most time, is linked to the highest financial and, potentially, reputational risk for the company. Yet, it is defined by many highly manual, and repetitive processes which means that both the potential and need for automation are fascinating. 

 

One of the most painstaking compliance processes that most large enterprises have to deal with annually is the external audit and all the multi-faceted requirements that come as part of it. Even just within audit, there are many and varied use cases that can reduce the time and cost of an audit significantly. One example is an automated reconciliation between systems the output of which can be shared with auditors for investigation of discrepancies. Another one is auto-populating auditor’s working papers with the information for all samples requested. Of course, these are just a couple of examples in an area so rich with automation opportunities. 

 

However, besides audit, there are many other processes within compliance that meet the criteria for high-automatable processes. Some of them are as follows:

  • Extraction of data for compliance reports
  • Auto-reconciliation between systems and accounts
  • Data aggregation for tax liability
  • Automated Tax return preparation & auto-filing
  • Automated conversion of data to tax basis
  • Completion of tax return workbooks

Automation examples within Month-end Reporting

I doubt any finance team member would disagree that month-end closing procedures can be a time-pressured and highly stressful process to get through. Performed every single month, all processes involved are highly automatable and are proven to save not only a lot of material mistakes for businesses but also risk, time, and stress. 

 

One of the key processes to note here is the generation of the month-end reports. This can be easily automated by automatically extracting all relevant information from all company systems, emails, and other reports, and automatically directing all the information to an Excel sheet or any other relevant working file, ready for the required month-end reports to be generated.

 

However, it is important to mention a few other important and highly repeatable processes. These can further ease the month-end reporting process and significantly improve its efficiency. Some of these processes are the following:

  • Automated data extraction from relevant systems 
  • Automated report generation & auto-send for review
  • Month-end Auto-Reconciliation of the cash accounts
  • Automated performance of month-end closing calculations

That's all well and good but how to automate all these processes

We’ve been talking about automation for over 10 years now and the reality is that now there are a lot of technologies and solutions out there that can solve all the challenges mentioned above. The only question really is how, to what extent, and for what cost. Here are a few technologies that can help with the automation of your finance & accounting processes: 

1. No-code solutions

With the hype of automation over the last few years, in particular, a lot of companies were founded to sell the idea of easy automation for all simple tasks and basic workflows. Such solutions have become very popular in automating simple workflows, such as automated sending of data from one app to another, or e-signing of documents. 

 

These solutions can be super handy and easy to get started with if your tasks are simple and the apps you want to automate between are on the list of these companies’ integrated systems. With this, of course, comes the natural flaw of these solutions in that they quickly become short at solving some challenges. Examples of that is where a custom-built system is involved or the workflow is complex or specific to your business and internal systems. 

2. Use Case specific automation solutions

Depending on the use case, there are now a plethora of companies that have specialised in solving a particular use case, again with no coding required on the customer side as well. For example, there are now plenty of options to choose from if you wish to automate your payment processing or your expense management, or your customer communication management. That’s great as these solutions often come with a lot of features and integrations which make them quite advanced in their particular use case.

 

But can and should a large enterprise have separate software that solves one particular use case at a time? I’ll let you think about it because the answer would vary depending on the company size, complexity, maturity, and internal policies 🙂

3. Extract, Transform, Load (ETL) technologies

A rather powerful and industry and use case agnostic technology that has emerged not so recently actually is what is called ETL, or extract, transform, load software, such as Data IQ and Alteryx, among others. These tools definitely don’t come with the “plug in and go” proposition of most no-code solutions providers mentioned above. As such, good technical know-how is required to get the most out of the power of these technologies. However, once mastered, they have the capabilities to extract and transform data in all required formats, systems, and outputs. Also, across difference use cases and business requirements. 

4. Robotic Process Automation

Last but most definitely not least, we have to mention robotic process automation (RPA). However, not just any RPA but open-source RPA as that’s fundamentally different from traditional Gen1 RPA drag & drop solutions. Open-source RPA allows any process and any task to be automated exactly as required without the hefty cost of traditional RPA licenses. This is irrespective of complexity, industry, or inputs and outputs. Open-source nature of RPA allows a fully customizable, flexible, secure and affordable automation of all processes irrespective of complexity, company size or industry. 

The opportunities and need for automation are significant and ever more important to prioritise now than ever. With so many processes to prioritise for automation and so many options on the market, we hope this post was helpful. However, if there’s anything you feel we’ve missed out, let us know in the comments and we’ll make sure to incorporate. 

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